Conesa D - Search Results

1

A mesoscale analysis of relations between fish species richness and environmental and anthropogenic pressures in the Mediterranean Sea.

Carmezim J, Pennino MG, Martínez-Minaya J, Conesa D, Coll M. Carmezim J, et al. Among authors: conesa d. Mar Environ Res. 2022 Sep;180:105702. doi: 10.1016/j.marenvres.2022.105702. Epub 2022 Aug 5. Mar Environ Res. 2022. PMID: 35947934 Free article.

2

Accounting for preferential sampling in species distribution models.

Pennino MG, Paradinas I, Illian JB, Muñoz F, Bellido JM, López-Quílez A, Conesa D. Pennino MG, et al. Among authors: conesa d. Ecol Evol. 2018 Dec 26;9(1):653-663. doi: 10.1002/ece3.4789. eCollection 2019 Jan. Ecol Evol. 2018. PMID: 30680145 Free PMC article.

3

A hierarchical Bayesian Beta regression approach to study the effects of geographical genetic structure and spatial autocorrelation on species distribution range shifts.

Martínez-Minaya J, Conesa D, Fortin MJ, Alonso-Blanco C, Picó FX, Marcer A. Martínez-Minaya J, et al. Among authors: conesa d. Mol Ecol Resour. 2019 Jul;19(4):929-943. doi: 10.1111/1755-0998.13024. Epub 2019 May 17. Mol Ecol Resour. 2019. PMID: 30993910

4

Ecological, genetic and evolutionary drivers of regional genetic differentiation in Arabidopsis thaliana.

Castilla AR, Méndez-Vigo B, Marcer A, Martínez-Minaya J, Conesa D, Picó FX, Alonso-Blanco C. Castilla AR, et al. Among authors: conesa d. BMC Evol Biol. 2020 Jun 22;20(1):71. doi: 10.1186/s12862-020-01635-2. BMC Evol Biol. 2020. PMID: 32571210 Free PMC article.

5

Spatial Bayesian Modeling Applied to the Surveys of Xylella fastidiosa in Alicante (Spain) and Apulia (Italy).

Cendoya M, Martínez-Minaya J, Dalmau V, Ferrer A, Saponari M, Conesa D, López-Quílez A, Vicent A. Cendoya M, et al. Among authors: conesa d. Front Plant Sci. 2020 Aug 14;11:1204. doi: 10.3389/fpls.2020.01204. eCollection 2020. Front Plant Sci. 2020. PMID: 32922416 Free PMC article.

6

Modeling Inoculum Availability of Plurivorosphaerella nawae in Persimmon Leaf Litter with Bayesian Beta Regression.

Martínez-Minaya J, Conesa D, López-Quílez A, Mira JL, Vicent A. Martínez-Minaya J, et al. Among authors: conesa d. Phytopathology. 2021 Jul;111(7):1184-1192. doi: 10.1094/PHYTO-08-20-0359-R. Epub 2021 Sep 9. Phytopathology. 2021. PMID: 33231497 Free article.

7

Modelling seabirds biodiversity through Bayesian Spatial Beta regression models: A proxy to inform marine protected areas in the Mediterranean Sea.

Sarzo B, Martínez-Minaya J, Pennino MG, Conesa D, Coll M. Sarzo B, et al. Among authors: conesa d. Mar Environ Res. 2023 Mar;185:105860. doi: 10.1016/j.marenvres.2022.105860. Epub 2023 Jan 5. Mar Environ Res. 2023. PMID: 36680810 Free article.

8

Bayesian Markov switching models for the early detection of influenza epidemics.

Martínez-Beneito MA, Conesa D, López-Quílez A, López-Maside A. Martínez-Beneito MA, et al. Among authors: conesa d. Stat Med. 2008 Sep 30;27(22):4455-68. doi: 10.1002/sim.3320. Stat Med. 2008. PMID: 18618414

9

FluDetWeb: an interactive web-based system for the early detection of the onset of influenza epidemics.

Conesa D, López-Quílez A, Martínez-Beneito MA, Miralles MT, Verdejo F. Conesa D, et al. BMC Med Inform Decis Mak. 2009 Jul 29;9:36. doi: 10.1186/1472-6947-9-36. BMC Med Inform Decis Mak. 2009. PMID: 19640304 Free PMC article.

10

Bayesian hierarchical Poisson models with a hidden Markov structure for the detection of influenza epidemic outbreaks.

Conesa D, Martínez-Beneito MA, Amorós R, López-Quílez A. Conesa D, et al. Stat Methods Med Res. 2015 Apr;24(2):206-23. doi: 10.1177/0962280211414853. Epub 2011 Aug 25. Stat Methods Med Res. 2015. PMID: 21873301

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